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About

Bhaskar Vundurthy is a robotics researcher whose work spans multi-agent coordination, autonomous navigation, and defense systems. His most impactful contribution is in differential game theory, where his 2021 study on "Multiple Target Defense Differential Games" (17 citations) introduced receding horizon-based switching strategies for active target-attacker-defender scenarios, enabling defenders to dynamically protect multiple assets. In multi-robot construction, he developed hierarchical planning algorithms for 3D collective building using cubic robots, with two 2023-2024 papers (4 and 2 citations) decomposing complex structures into manageable subtasks. His practical contributions include a distributed optimal control framework for high-speed robot convoys (3 citations), validated with hardware experiments, and fast staircase detection from 3D point clouds (8 citations) for heterogeneous robots navigating human environments. More recently, Vundurthy has explored interaction-aware control for robotic vegetation override in off-road settings and graph-based ergodic search in cluttered spaces (GESCE, 1 citation). His 2025 work on novel gaits for snake robots navigating complex pipe networks demonstrates continued innovation in locomotion. With over 38 total citations across eight publications, Vundurthy's research bridges theoretical foundations and real-world deployment, making significant strides in autonomous systems that operate in challenging, unstructured environments.